Folksonomy rating-based recommendations
Posted on January 26, 2005
I’ve had an idea for a while about implementing ratings in a folksonomy system (del.icio.us, flickr, technorati, etc.) so that some clever bot can come along and using some sort of Amazon-esque algorithm, find me more stuff that I would like.
My idea goes something like this:
- Everybody agrees on a set of tags that would indicate a rating (I’m currently using rating/*, rating/**, rating/***, rating/**** and rating/*****).
- Everybody tags anything they feel like rating/reviewing with one of these tags based on how much they like it.
- A clever bot looks at what I like and dislike, finds some other people who are similar, and tells me what they have found that I don’t know about yet.
- I learn about new stuff that I might well like.
What do you think?
UPDATE: I have found a few users that are using tags of the form rating:90%, but it doesn’t appear to be widespread either. Smilies ( 
) seem to be popular too.
tags [ folksonomy del.icio.us tagging rating recommendation ]
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One Response to “Folksonomy rating-based recommendations”
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I would argue that when you are social tagging, you are, in fact, making recommendations. You propose going one step further by rating your tags.
I approach “rating” within folksonomy by proposing we rate the taggers.